A deep learning approach for the design of narrow transition-band FIR filter

DOI10.1007/S00034-022-02036-0zbMath1510.94062OpenAlexW4229447200MaRDI QIDQ6045799

Subhabrata Roy, Abhijit Chandra

Publication date: 12 May 2023

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-022-02036-0

zbMATH Keywords

field programmable gate arraydeep neural networklow complexityfinite impulse response filternarrow-band filter

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

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• A neural network approach to FIR filter design using frequency-response masking technique
• The optimum design of one- and two-dimensional FIR filters using the frequency response masking technique
• Improved Design of Frequency-Response Masking Filters Using Band-Edge Shaping Filter With Non-Periodical Frequency Response

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